Giving Ecological Meaning to Satellite-Derived Fire Severity Metrics across North American Forests

Satellite-derived spectral indices such as the relativized burn ratio (RBR) allow fire severity maps to be produced in a relatively straightforward manner across multiple fires and broad spatial extents. These indices often have strong relationships with field-based measurements of fire severity, th...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 11; H. 14; S. 1735
Hauptverfasser:	Parks, Sean, Holsinger, Lisa, Koontz, Michael, Collins, Luke, Whitman, Ellen, Parisien, Marc-André, Loehman, Rachel, Barnes, Jennifer, Bourdon, Jean-François, Boucher, Jonathan, Boucher, Yan, Caprio, Anthony, Collingwood, Adam, Hall, Ron, Park, Jane, Saperstein, Lisa, Smetanka, Charlotte, Smith, Rebecca, Soverel, Nick
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 23.07.2019
Schlagworte:	algorithms Artificial intelligence burn severity Canada CBI climate Climate variability composite burn index fire effects fire severity Fires Forest & brush fires forests Google Earth Engine Internet landscapes latitude Machine learning Mapping model validation National parks Parks & recreation areas Random Forest Remote sensing Spectra United States Variables Vegetation wildfires Canada Australia United States > US Quebec City Quebec Canada United States
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!